Y. Xiong, Guoming Li, Naomi C Willard, Michael Ellis, R. Gates
Highlights The rectal temperature and maximum ear base temperature were measured for neonatal piglets after birth. Piglets’ rectal temperature dropped on average 5.1 °C and reached 33.6 °C 30-min after birth. Machine learning algorithms were evaluated to predict piglet rectal temperature using ear temperatures. Machine learning model performance was compared to that of a direct regression using maximum ear base temperature. The best machine learning model was 0.2°C more accurate than the direct linear regression model. Abstract. Piglet body temperature can drop rapidly after birth, and the magnitude of this drop can delay recovery to homoeothermic status and compromise the vigor of piglets. Understanding piglet body temperature changes provides critical insights into piglet thermal comfort management and preweaning mortality prevention. However, measuring neonatal piglet body temperature at birth is not generally practical in production facilities, and alternative sensing and modeling methods should be explored. The objectives of this research were to (1) quantify the rectal temperature of wet neonatal piglets without any drying treatments across the first day of birth; (2) develop and evaluate thermography and machine learning models to predict piglet rectal temperature within the same period; and (3) compare the machine learning model’s performance with a simple regression model using the piglets’ thermographic information. Rectal temperatures and thermal images of the back of the ears were obtained at 0, 15, 30, 45, 60, 90, 120, 180, 240, and 1440 minutes after birth for 99 neonatal piglets from 9 litters. Maximum ear base temperature extracted from thermal images, piglet gender, initial weight, and environmental variables (room temperature, relative humidity, and wet-bulb temperature) were used as inputs for machine learning model evaluation. A simple regression and fourteen machine learning models were compared for their performance in predicting piglets’ rectal temperature. Piglets dropped an average of 5.1°C in rectal temperature and reached the lowest temperature (33.6 ± 2.2°C) 30 (±15) minutes after birth, demonstrating a significant reduction from their birth rectal temperature (38.7 ± 0.8°C). The maximum ear base temperature had the highest feature importance score (= 0.606) among all input variables for the machine learning model’s development. A direct regression of maximum ear base temperature against measured rectal temperature produced a standard error of prediction of 1.7°C, while the best-performing machine-learning model (the Lasso regressor) produced a standard error of prediction of 1.5°C. Either prediction model is appropriate, with the direct regression model being more straightforward for field application. Keywords: Computer vision, Farrowing, Precision livestock farming, Pre-wean mortality.
{"title":"Modeling Neonatal Piglet Rectal Temperature with Thermography and Machine Learning","authors":"Y. Xiong, Guoming Li, Naomi C Willard, Michael Ellis, R. Gates","doi":"10.13031/ja.14998","DOIUrl":"https://doi.org/10.13031/ja.14998","url":null,"abstract":"Highlights The rectal temperature and maximum ear base temperature were measured for neonatal piglets after birth. Piglets’ rectal temperature dropped on average 5.1 °C and reached 33.6 °C 30-min after birth. Machine learning algorithms were evaluated to predict piglet rectal temperature using ear temperatures. Machine learning model performance was compared to that of a direct regression using maximum ear base temperature. The best machine learning model was 0.2°C more accurate than the direct linear regression model. Abstract. Piglet body temperature can drop rapidly after birth, and the magnitude of this drop can delay recovery to homoeothermic status and compromise the vigor of piglets. Understanding piglet body temperature changes provides critical insights into piglet thermal comfort management and preweaning mortality prevention. However, measuring neonatal piglet body temperature at birth is not generally practical in production facilities, and alternative sensing and modeling methods should be explored. The objectives of this research were to (1) quantify the rectal temperature of wet neonatal piglets without any drying treatments across the first day of birth; (2) develop and evaluate thermography and machine learning models to predict piglet rectal temperature within the same period; and (3) compare the machine learning model’s performance with a simple regression model using the piglets’ thermographic information. Rectal temperatures and thermal images of the back of the ears were obtained at 0, 15, 30, 45, 60, 90, 120, 180, 240, and 1440 minutes after birth for 99 neonatal piglets from 9 litters. Maximum ear base temperature extracted from thermal images, piglet gender, initial weight, and environmental variables (room temperature, relative humidity, and wet-bulb temperature) were used as inputs for machine learning model evaluation. A simple regression and fourteen machine learning models were compared for their performance in predicting piglets’ rectal temperature. Piglets dropped an average of 5.1°C in rectal temperature and reached the lowest temperature (33.6 ± 2.2°C) 30 (±15) minutes after birth, demonstrating a significant reduction from their birth rectal temperature (38.7 ± 0.8°C). The maximum ear base temperature had the highest feature importance score (= 0.606) among all input variables for the machine learning model’s development. A direct regression of maximum ear base temperature against measured rectal temperature produced a standard error of prediction of 1.7°C, while the best-performing machine-learning model (the Lasso regressor) produced a standard error of prediction of 1.5°C. Either prediction model is appropriate, with the direct regression model being more straightforward for field application. Keywords: Computer vision, Farrowing, Precision livestock farming, Pre-wean mortality.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"2022 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87797346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Highlights MW specific energy ranging from 422.5 to 507.0 kJ/kg of rice can dry rice to 12.5% moisture content in a single pass. Fissuring percentage was significantly lower for lower drying durations as compared to 3 min drying durations for all power levels. RR dried for one minute with MW at 16-20 kW results in higher head rice yields. Abstract. The utilization of microwave (MW) drying technology to dry rough rice (RR) is considered a promising method for high-moisture RR drying with high throughput. Milling quality is a significant factor in stakeholders adoption of this method. Therefore, experiments were conducted using an industrial MW dryer operating at 915 MHz to examine the effects of different MW power levels and heating durations on RR drying. Single pass drying was performed using 16, 18, and 20 kW power levels and 1, 2, and 3 min heating durations. A control sample was dried in an environmentally controlled chamber at 25°C and 56% relative humidity (RH). The moisture content, surface temperature, fissuring, and head rice yield (HRY) of RR were measured. The initial moisture content of RR was 21.22% w.b. The moisture content of RR after 3 minutes of drying at the studied power levels was close to the recommended rice milling moisture content of 13%, indicating the feasibility of single pass MW drying. The maximum surface temperature of RR at severe (20 kW for 3 min) and least severe (16 kW and 1 min) treatment conditions was 91.9°C and 62.6°C, respectively. Fissuring percentages of 86.2% and 85.3% were observed in RR drying at 20 kW for 3 min after one day and after seven days of fissure examination, respectively. Fissuring percentages of 84.2% and 84.3% were observed at 16 kW for 3 min drying after one day and after seven days, respectively. The HRY at MW drying conditions of 16-20 kW for 1 min was higher than that of RR gently dried at 25°C and 56% RH. MW drying shows promise for reducing drying duration compared to conventional methods. Keywords: Head rice yield, Microwave drying, Moisture content, Rice drying, Rice fissuring.
{"title":"High-Power Short Duration Microwave Drying of Rice Versus Fissuring and Milling Yields","authors":"S. Boreddy, K. Luthra, G. Atungulu","doi":"10.13031/ja.15410","DOIUrl":"https://doi.org/10.13031/ja.15410","url":null,"abstract":"Highlights MW specific energy ranging from 422.5 to 507.0 kJ/kg of rice can dry rice to 12.5% moisture content in a single pass. Fissuring percentage was significantly lower for lower drying durations as compared to 3 min drying durations for all power levels. RR dried for one minute with MW at 16-20 kW results in higher head rice yields. Abstract. The utilization of microwave (MW) drying technology to dry rough rice (RR) is considered a promising method for high-moisture RR drying with high throughput. Milling quality is a significant factor in stakeholders adoption of this method. Therefore, experiments were conducted using an industrial MW dryer operating at 915 MHz to examine the effects of different MW power levels and heating durations on RR drying. Single pass drying was performed using 16, 18, and 20 kW power levels and 1, 2, and 3 min heating durations. A control sample was dried in an environmentally controlled chamber at 25°C and 56% relative humidity (RH). The moisture content, surface temperature, fissuring, and head rice yield (HRY) of RR were measured. The initial moisture content of RR was 21.22% w.b. The moisture content of RR after 3 minutes of drying at the studied power levels was close to the recommended rice milling moisture content of 13%, indicating the feasibility of single pass MW drying. The maximum surface temperature of RR at severe (20 kW for 3 min) and least severe (16 kW and 1 min) treatment conditions was 91.9°C and 62.6°C, respectively. Fissuring percentages of 86.2% and 85.3% were observed in RR drying at 20 kW for 3 min after one day and after seven days of fissure examination, respectively. Fissuring percentages of 84.2% and 84.3% were observed at 16 kW for 3 min drying after one day and after seven days, respectively. The HRY at MW drying conditions of 16-20 kW for 1 min was higher than that of RR gently dried at 25°C and 56% RH. MW drying shows promise for reducing drying duration compared to conventional methods. Keywords: Head rice yield, Microwave drying, Moisture content, Rice drying, Rice fissuring.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86607043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chun-sheng Wen, Zhanpeng Xiao, Yunzhi Yan, Youzong Huang, Zhongjian Xie, H. Nong, Zimian Lan, Y. Lu, Qiaohui Wu
Highlights A linear array CCD sensor is utilized to obtain the contour signal of the vertical projection of the sugarcane. A method is provided for continuously identifying and locating sugarcane nodes. Examines the impact of scan speed and illumination on the accuracy of identification. The method performs well regarding identification rate, precision, and efficiency. Abstract. In order to achieve continuous and dynamic detection of sugarcane nodes, improve the automatic production efficiency of pre-cut sugarcane seed, and lower the cost of mechanized sugarcane production, a detection method based on linear array charge-coupled device (CCD) photoelectric sensor signal processing was developed. Firstly, the mechanical drive unit was controlled to drive the photoelectric detection system to acquire the signal of the vertical projection of the sugarcane profile. The projection information was then binarized into profile information using the Otsu algorithm. The profile signal was then decomposed using a variable mode decomposition algorithm optimized based on the sparrow search algorithm, and the component reflecting the node content was regarded as the feature signal. Finally, the position of the wave peaks above the judgment threshold in the normalized feature signal was considered the position of the sugarcane nodes. One-way and two-way experiments were conducted to investigate the effects of scan speed and illuminance on identification precision. The results showed that the identification rate, average response time, and average error values were 98.40%, 0.13 s, and 1.36 mm at a scan speed of 75 mm/s and an illuminance of 91.91 lx. Compared to other node identification methods discussed in this article, the proposed method has a high identification rate and accuracy with a high response speed, which can improve the automation efficiency of sugarcane seed production. Keywords: Identification accuracy, Non-contact detection, Photoelectric sensor, Precision agriculture, Seed production, Signal processing, Sugarcane node, Variational mode decomposition.
{"title":"Sugarcane Node Detection Method Based on Photoelectric Sensor Vertical Projection Signal Processing","authors":"Chun-sheng Wen, Zhanpeng Xiao, Yunzhi Yan, Youzong Huang, Zhongjian Xie, H. Nong, Zimian Lan, Y. Lu, Qiaohui Wu","doi":"10.13031/ja.15494","DOIUrl":"https://doi.org/10.13031/ja.15494","url":null,"abstract":"Highlights A linear array CCD sensor is utilized to obtain the contour signal of the vertical projection of the sugarcane. A method is provided for continuously identifying and locating sugarcane nodes. Examines the impact of scan speed and illumination on the accuracy of identification. The method performs well regarding identification rate, precision, and efficiency. Abstract. In order to achieve continuous and dynamic detection of sugarcane nodes, improve the automatic production efficiency of pre-cut sugarcane seed, and lower the cost of mechanized sugarcane production, a detection method based on linear array charge-coupled device (CCD) photoelectric sensor signal processing was developed. Firstly, the mechanical drive unit was controlled to drive the photoelectric detection system to acquire the signal of the vertical projection of the sugarcane profile. The projection information was then binarized into profile information using the Otsu algorithm. The profile signal was then decomposed using a variable mode decomposition algorithm optimized based on the sparrow search algorithm, and the component reflecting the node content was regarded as the feature signal. Finally, the position of the wave peaks above the judgment threshold in the normalized feature signal was considered the position of the sugarcane nodes. One-way and two-way experiments were conducted to investigate the effects of scan speed and illuminance on identification precision. The results showed that the identification rate, average response time, and average error values were 98.40%, 0.13 s, and 1.36 mm at a scan speed of 75 mm/s and an illuminance of 91.91 lx. Compared to other node identification methods discussed in this article, the proposed method has a high identification rate and accuracy with a high response speed, which can improve the automation efficiency of sugarcane seed production. Keywords: Identification accuracy, Non-contact detection, Photoelectric sensor, Precision agriculture, Seed production, Signal processing, Sugarcane node, Variational mode decomposition.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79895757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mukesh Mehata, S. Datta, S. Taghvaeian, A. Mirchi, D. Moriasi
Highlights The effects of soil data accuracy on estimated water fluxes by an irrigation scheduling model were investigated. Free and frequently used web soil survey (WSS) soil textural data underestimated sand particles in 89% of cases. Forty-nine percent of the estimated differences in seasonal irrigation based on WSS and measured soil data were within ±25 mm. In most cases, use of WSS data resulted in larger evaporation, smaller deep percolation, and larger runoff compared to those based on measured soil data. Abstract. A widely used irrigation scheduling method is based on modeling soil water balance, which requires several key inputs, including soil data. Many scheduling tools developed using this method rely on publicly available soil data, such as the United States Department of Agriculture's Web Soil Survey (WSS). While soil survey data are a valuable source of information for general farm and natural resource planning and management at large scales, inaccuracies in soil conditions at field and subfield scales can hamper efficient agricultural water management through irrigation scheduling tools. To illuminate the implications of the localized inaccuracies, this study estimated the errors in WSS soil textural data at 18 sites in three regions of western Oklahoma through comparison with in-situ sampling (ISS) data. The effects of errors on estimated water fluxes were also investigated for dominant crops of each region over a 15-year (2006-2020) period. The findings demonstrated that WSS soil textures were finer than ISS at most sites and soil layers, resulting in generally greater root zone total available water estimates. Differences in seasonal irrigation demand estimates when WSS data were used instead of ISS reached 20% at one site but were within ±9% among the regions. Half of the estimated seasonal irrigation differences for all sites, years, and crops were within ±25 mm. Soil evaporation, deep percolation, and runoff fluxes were also impacted by soil data source, albeit to a smaller degree than irrigation, at levels and directions (over or underestimation) that were dependent on the sign and magnitude of WSS errors, as well as precipitation amounts and timing. Overall, errors in WSS data may not have a major impact at regional scales, but the effects on individual irrigated farms may be severe depending on the magnitude of difference between WSS data and true soil conditions. Keywords: Irrigation demand, Soil water balance, SSURGO, Water fluxes, Web soil survey.
{"title":"Effects of Soil Data Accuracy on Outputs of Irrigation Scheduling Tools","authors":"Mukesh Mehata, S. Datta, S. Taghvaeian, A. Mirchi, D. Moriasi","doi":"10.13031/ja.15323","DOIUrl":"https://doi.org/10.13031/ja.15323","url":null,"abstract":"Highlights The effects of soil data accuracy on estimated water fluxes by an irrigation scheduling model were investigated. Free and frequently used web soil survey (WSS) soil textural data underestimated sand particles in 89% of cases. Forty-nine percent of the estimated differences in seasonal irrigation based on WSS and measured soil data were within ±25 mm. In most cases, use of WSS data resulted in larger evaporation, smaller deep percolation, and larger runoff compared to those based on measured soil data. Abstract. A widely used irrigation scheduling method is based on modeling soil water balance, which requires several key inputs, including soil data. Many scheduling tools developed using this method rely on publicly available soil data, such as the United States Department of Agriculture's Web Soil Survey (WSS). While soil survey data are a valuable source of information for general farm and natural resource planning and management at large scales, inaccuracies in soil conditions at field and subfield scales can hamper efficient agricultural water management through irrigation scheduling tools. To illuminate the implications of the localized inaccuracies, this study estimated the errors in WSS soil textural data at 18 sites in three regions of western Oklahoma through comparison with in-situ sampling (ISS) data. The effects of errors on estimated water fluxes were also investigated for dominant crops of each region over a 15-year (2006-2020) period. The findings demonstrated that WSS soil textures were finer than ISS at most sites and soil layers, resulting in generally greater root zone total available water estimates. Differences in seasonal irrigation demand estimates when WSS data were used instead of ISS reached 20% at one site but were within ±9% among the regions. Half of the estimated seasonal irrigation differences for all sites, years, and crops were within ±25 mm. Soil evaporation, deep percolation, and runoff fluxes were also impacted by soil data source, albeit to a smaller degree than irrigation, at levels and directions (over or underestimation) that were dependent on the sign and magnitude of WSS errors, as well as precipitation amounts and timing. Overall, errors in WSS data may not have a major impact at regional scales, but the effects on individual irrigated farms may be severe depending on the magnitude of difference between WSS data and true soil conditions. Keywords: Irrigation demand, Soil water balance, SSURGO, Water fluxes, Web soil survey.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91241208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Highlights Functionality of RF processed soft wheat flour (SWF) in the sugar-snap cookies was evaluated. Functionality of the SWFs at RF processing conditions of 80°C for 7 h and 90°C for 2 h is acceptable. Study demonstrated the feasibility of RF-assisted thermal processing of SWF. ABSTRACT. Wheat flours are thermally processed to ensure microbiological safety for use in food products such as cakes, cookies, baby foods, etc. Traditional thermal processing of wheat flour takes a long time because of its poor thermal conductivity. Novel thermal processing methods, such as radiofrequency assisted processing, are poised to replace the traditional methods. However, to ensure the final acceptance and adaptability of novel methods, the performance of RF-processed flours in prepared products such as cookies and noodles is important. The objective of this study is to evaluate the functionality of radiofrequency (RF)-assisted thermally processed soft wheat flour (SWF) in the end products, namely sugar-snap cookies. Sugar-snap cookies were prepared from RF-processed, unpasteurized, and commercially processed SWFs following a standard method. The qualities of the prepared cookies, such as width, thickness, etc., were evaluated and compared. The width of the sugar-snap cookies of the RF-assisted thermal process conditions of 80°C for 7 h and 90°C for 2 h was not significantly (P > 0.05) different from that of the unpasteurized SWF. The cookie thickness for all the RF-assisted thermally processed conditions was significantly higher than that of the unpasteurized condition. However, the color, hardness, and fracturability values of sugar-snap cookies were not significantly different at all the RF-assisted thermal processing conditions when compared with those of the unpasteurized condition. The functionality of the flours in sugar-snap cookies indicates that the selected RF-assisted thermal processing temperatures and time combinations of 80°C for 7 h and 90°C for 2 h did not influence the functionality of the SWF significantly. Thus, this study demonstrates the feasibility of novel RF-assisted thermal processing of SWF without compromising the flour's functionality in the end products. Keywords: Click here to enter keywords and key phrases, separated by commas, with a period at the end
{"title":"Functionality of Soft Wheat Flour Treated by Radiofrequency Assisted Thermal Processing","authors":"Sreenivasula Boreddy, Jeyamkondan Subbiah","doi":"10.13031/ja.15495","DOIUrl":"https://doi.org/10.13031/ja.15495","url":null,"abstract":"Highlights Functionality of RF processed soft wheat flour (SWF) in the sugar-snap cookies was evaluated. Functionality of the SWFs at RF processing conditions of 80°C for 7 h and 90°C for 2 h is acceptable. Study demonstrated the feasibility of RF-assisted thermal processing of SWF. ABSTRACT. Wheat flours are thermally processed to ensure microbiological safety for use in food products such as cakes, cookies, baby foods, etc. Traditional thermal processing of wheat flour takes a long time because of its poor thermal conductivity. Novel thermal processing methods, such as radiofrequency assisted processing, are poised to replace the traditional methods. However, to ensure the final acceptance and adaptability of novel methods, the performance of RF-processed flours in prepared products such as cookies and noodles is important. The objective of this study is to evaluate the functionality of radiofrequency (RF)-assisted thermally processed soft wheat flour (SWF) in the end products, namely sugar-snap cookies. Sugar-snap cookies were prepared from RF-processed, unpasteurized, and commercially processed SWFs following a standard method. The qualities of the prepared cookies, such as width, thickness, etc., were evaluated and compared. The width of the sugar-snap cookies of the RF-assisted thermal process conditions of 80°C for 7 h and 90°C for 2 h was not significantly (P > 0.05) different from that of the unpasteurized SWF. The cookie thickness for all the RF-assisted thermally processed conditions was significantly higher than that of the unpasteurized condition. However, the color, hardness, and fracturability values of sugar-snap cookies were not significantly different at all the RF-assisted thermal processing conditions when compared with those of the unpasteurized condition. The functionality of the flours in sugar-snap cookies indicates that the selected RF-assisted thermal processing temperatures and time combinations of 80°C for 7 h and 90°C for 2 h did not influence the functionality of the SWF significantly. Thus, this study demonstrates the feasibility of novel RF-assisted thermal processing of SWF without compromising the flour's functionality in the end products. Keywords: Click here to enter keywords and key phrases, separated by commas, with a period at the end","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135319862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Highlights High rates of streambank erosion are detrimental to the stability and function of streams. This collection brings together six studies that represent key advances in streambank erosion research. Current research directions on streambank erosion, erodibility characterization, and sediment loading are presented. Future research directions and challenges related to high-frequency data collection and modeling are discussed. Abstract. Streams are in dynamic equilibrium with their environments, and as that environment is altered by human development and changing climate, streambank erosion is a common, but little understood, result. This article highlights the contributions of the special collection “Streambank Erosion, Sediment Dynamics, and Restoration (SER),” which assembled six studies that represent key advances in streambank erosion research, highlight current research in the field, and identify directions for future research. The studies in this special collection were grouped into three central themes: (1) streambank erosion monitoring, (2) streambank erodibility characterization, and (3) streambank erosion loading. In this article, key findings within each of these central themes are summarized, emphasizing the significant contributions of each study. Likewise, perspectives on future research directions are discussed, outlining important challenges that remain to be addressed. Overall, the studies in this special collection are unified in their overarching goal of improving quantitative and predictive understanding of streambank erosion phenomena. Keywords: Keywords., Erodibility Parameters, Jet Erosion Test, Monitoring, Sediment, Soil Erosion, Stabilization Practices, Streambank, Stream Restoration.
{"title":"Streambank Erosion Phenomena and Understanding: Current Research and Future Directions","authors":"Celso Castro Bolinaga, Aaron Mittelstet, Kyle Mankin","doi":"10.13031/ja.15613","DOIUrl":"https://doi.org/10.13031/ja.15613","url":null,"abstract":"Highlights High rates of streambank erosion are detrimental to the stability and function of streams. This collection brings together six studies that represent key advances in streambank erosion research. Current research directions on streambank erosion, erodibility characterization, and sediment loading are presented. Future research directions and challenges related to high-frequency data collection and modeling are discussed. Abstract. Streams are in dynamic equilibrium with their environments, and as that environment is altered by human development and changing climate, streambank erosion is a common, but little understood, result. This article highlights the contributions of the special collection “Streambank Erosion, Sediment Dynamics, and Restoration (SER),” which assembled six studies that represent key advances in streambank erosion research, highlight current research in the field, and identify directions for future research. The studies in this special collection were grouped into three central themes: (1) streambank erosion monitoring, (2) streambank erodibility characterization, and (3) streambank erosion loading. In this article, key findings within each of these central themes are summarized, emphasizing the significant contributions of each study. Likewise, perspectives on future research directions are discussed, outlining important challenges that remain to be addressed. Overall, the studies in this special collection are unified in their overarching goal of improving quantitative and predictive understanding of streambank erosion phenomena. Keywords: Keywords., Erodibility Parameters, Jet Erosion Test, Monitoring, Sediment, Soil Erosion, Stabilization Practices, Streambank, Stream Restoration.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William J. Elliot, Sarah A. Lewis, Chelsea L. Cannard
Highlights The erodibility of heavily trafficked gravel roads can be much greater than that of low volume forest roads. Improved designs of heavily trafficked gravel roads can decrease sediment generation by more than 90 percent. The WEPP Model can be successfully parameterized for high traffic gravel roads to reflect the effects of weather, road design, and topography. Abstract. The purposes of this study were to support a watershed modeling analysis by evaluating the ability to the Water Erosion Prediction Project (WEPP) model to estimate sediment generated by high traffic gravel roads, and to determine the erodibility of two designs of high-traffic gravel roads. In many watersheds, the road network can be a major source of sediment. The ability to predict erosion from roads, evaluate the effects of design and management on road sedimentation, and compare sediment from roads to other sources of sediment in the watershed is an ongoing need by watershed managers. The Water Erosion Prediction Project (WEPP) model is a widely used model for predicting sediment from forest roads. There has, however, been little information published on erosion from high traffic gravel roads and WEPP applications to such roads. To evaluate road erosion predictions, a study was conducted incorporating two road designs at Fort Benning, Georgia, U.S. One design followed a common practice of starting with a native material road and adding gravel and grading as required. Erosion and rutting on the road surface were common occurrences on this type of road. The improved design was a “graded aggregate base” design, built with compacted aggregate layers. To evaluate erosion risks for these two road designs, runoff and sediment delivery were measured from ten plots ranging in size from 63 to 150 m2. Runoff depths up to 50 mm occurred from daily rainfall amounts up to nearly 60 mm, with least square mean event runoff values of 6.5 mm from unimproved plots and 14.9 mm from improved road plots. Delivered sediment ranged from zero to 18 Mg ha-1 from individual storms with least square mean amounts of 2.27 Mg ha-1 of sediment delivered from unimproved road plots compared to only 0.026 Mg ha-1 delivered from improved road design plots for a given runoff event. Hydraulic conductivity was found by calibration to be 3.0 mm h-1 for unimproved roads and 1.3 mm h-1 for improved road segments. Rill erodibility was 0.09 s m-1 for unimproved roads and 0.0008 s m-1 for improved roads, values that were greater than had been measured on road erosion studies elsewhere that were typically less than 0.0004 s m-1. The critical shear for the unimproved roads was the minimum that the WEPP model would accept, 0.0001 Pa, but was a more typical value of 1.5 Pa for the improved road segments. When applying the calibrated erodibility values to a validation data set, the Willmott indices of agreement were 0.62 and 0.82 for runoff for unimproved and improved roads, respectively, and 0.67 and 0.66 for sedime
交通繁忙的砾石道路的可蚀性可能比低容量的森林道路大得多。经过改进的交通繁忙的砾石路设计可以减少90%以上的泥沙生成。WEPP模型可以成功地对高流量砾石道路进行参数化，以反映天气、道路设计和地形的影响。摘要本研究的目的是通过评估水侵蚀预测项目(WEPP)模型估算高流量砾石道路产生的泥沙的能力来支持流域建模分析，并确定两种高流量砾石道路设计的可蚀性。在许多流域，道路网可能是沉积物的主要来源。预测道路侵蚀，评估设计和管理对道路沉积的影响，并将道路沉积物与流域内其他沉积物来源进行比较的能力是流域管理人员不断需要的。水侵蚀预测工程(WEPP)模型是目前广泛应用的森林道路泥沙预测模型。然而，关于高流量砾石道路的侵蚀和WEPP在这类道路上的应用的信息很少。为了评估道路侵蚀预测，在美国乔治亚州本宁堡进行了一项研究，其中包括两种道路设计。一种设计遵循了通常的做法，从天然材料道路开始，并根据需要添加砾石和分级。在这种类型的道路上，路面的侵蚀和车辙是常见的。改进后的设计是一个“分级骨料基础”设计，用密实的骨料层建造。为了评估这两种道路设计的侵蚀风险，我们测量了10个地块的径流和泥沙输送，面积从63到150平方米不等。日降雨量接近60毫米，径流深度达到50毫米，未改善地块的最小二乘平均径流值为6.5毫米，改善道路地块的最小二乘平均径流值为14.9毫米。在给定的径流事件中，单个风暴带来的沉积物从0到18 Mg ha-1不等，未改善的道路地块带来的沉积物最小二乘平均值为2.27 Mg ha-1，而改善的道路设计地块带来的沉积物仅为0.026 Mg ha-1。通过校准发现，未改善路段的水力传导率为3.0 mm h-1，改善路段的水力传导率为1.3 mm h-1。未改善道路的细沟可蚀性为0.09 s m-1，改善道路的细沟可蚀性为0.0008 s m-1，这些值大于其他地方道路侵蚀研究中测量到的值，这些研究通常小于0.0004 s m-1。未改善路段的临界剪切值是WEPP模型所能接受的最小值，为0.0001 Pa，而改善路段的临界剪切值更为典型，为1.5 Pa。当将校准的可蚀性值应用于验证数据集时，未改善和改善道路的径流Willmott一致性指数分别为0.62和0.82，未改善和改善道路的泥沙输送分别为0.67和0.66，表明观测到的径流和侵蚀率与wepp估计的吻合良好。灵敏度分析和校准分析发现，WEPP模型对该应用的细沟侵蚀不敏感。结合WEPP验证分析的敏感性分析表明，WEPP可以结合天气、地形、土壤和道路设计特征来预测高度易侵蚀路段的沉积物输送。研究表明，有必要进行模拟径流研究，以更精确地确定未改善的高交通道路上的细沟可蚀性的高值，并且有必要将更多可蚀性的道路可蚀性值纳入WEPP模型的在线WEPP: road界面。本研究报告的道路侵蚀率和改善道路设计减少越野沉积物的有效性将有助于管理人员量化和减少敏感流域高流量砾石道路的道路侵蚀率。关键词:可蚀性;碎石路面;土壤侵蚀;
{"title":"Measuring and Modeling Impacts of Gravel Road Design on Sediment Generation in the Southeastern U.S.","authors":"William J. Elliot, Sarah A. Lewis, Chelsea L. Cannard","doi":"10.13031/ja.15539","DOIUrl":"https://doi.org/10.13031/ja.15539","url":null,"abstract":"Highlights The erodibility of heavily trafficked gravel roads can be much greater than that of low volume forest roads. Improved designs of heavily trafficked gravel roads can decrease sediment generation by more than 90 percent. The WEPP Model can be successfully parameterized for high traffic gravel roads to reflect the effects of weather, road design, and topography. Abstract. The purposes of this study were to support a watershed modeling analysis by evaluating the ability to the Water Erosion Prediction Project (WEPP) model to estimate sediment generated by high traffic gravel roads, and to determine the erodibility of two designs of high-traffic gravel roads. In many watersheds, the road network can be a major source of sediment. The ability to predict erosion from roads, evaluate the effects of design and management on road sedimentation, and compare sediment from roads to other sources of sediment in the watershed is an ongoing need by watershed managers. The Water Erosion Prediction Project (WEPP) model is a widely used model for predicting sediment from forest roads. There has, however, been little information published on erosion from high traffic gravel roads and WEPP applications to such roads. To evaluate road erosion predictions, a study was conducted incorporating two road designs at Fort Benning, Georgia, U.S. One design followed a common practice of starting with a native material road and adding gravel and grading as required. Erosion and rutting on the road surface were common occurrences on this type of road. The improved design was a “graded aggregate base” design, built with compacted aggregate layers. To evaluate erosion risks for these two road designs, runoff and sediment delivery were measured from ten plots ranging in size from 63 to 150 m2. Runoff depths up to 50 mm occurred from daily rainfall amounts up to nearly 60 mm, with least square mean event runoff values of 6.5 mm from unimproved plots and 14.9 mm from improved road plots. Delivered sediment ranged from zero to 18 Mg ha-1 from individual storms with least square mean amounts of 2.27 Mg ha-1 of sediment delivered from unimproved road plots compared to only 0.026 Mg ha-1 delivered from improved road design plots for a given runoff event. Hydraulic conductivity was found by calibration to be 3.0 mm h-1 for unimproved roads and 1.3 mm h-1 for improved road segments. Rill erodibility was 0.09 s m-1 for unimproved roads and 0.0008 s m-1 for improved roads, values that were greater than had been measured on road erosion studies elsewhere that were typically less than 0.0004 s m-1. The critical shear for the unimproved roads was the minimum that the WEPP model would accept, 0.0001 Pa, but was a more typical value of 1.5 Pa for the improved road segments. When applying the calibrated erodibility values to a validation data set, the Willmott indices of agreement were 0.62 and 0.82 for runoff for unimproved and improved roads, respectively, and 0.67 and 0.66 for sedime","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Marek, S. Evett, K. Thorp, Kendall C. DeJonge, T. Marek, D. Brauer
Highlights Losses for MESA and LESA were comparable on the day of irrigation and oftentimes greater for the subsequent day. Losses were greater due to incomplete canopy conditions for both MESA and LESA on both days. Evaporative losses from irrigation extended to at least the subsequent day following irrigation in most cases. Losses over two days accounted for as much as 39.5% and 28.0% of irrigation depth for MESA and LESA, respectively. Abstract. Effective irrigation systems that increase crop water productivity by minimizing evaporative losses are paramount for extending the longevity of finite groundwater resources in the semi-arid U.S. Southern High Plains (SHP). Although subsurface drip irrigation (SDI) acreage has increased in recent years, center-pivot sprinkler systems still account for greater than 85% of the irrigated area in the SHP. Modern sprinkler configurations are typically classified according to application height as either mid-elevation spray application (MESA) or low-elevation spray application (LESA). While application drift and evaporative losses are easily measured under fallow conditions, quantifying evaporative losses under cropped conditions is difficult. Lysimeter-derived daily evapotranspiration (ET) values for SDI-irrigated and sprinkler-irrigated fields planted to corn in 2016 (MESA) and 2018 (LESA) near Bushland, TX, were compared for days when sprinkler irrigation events occurred and for subsequent days, when possible. Differences (extra ET) were attributed to evaporative losses associated with MESA and LESA irrigation. Average daily extra ET values for both sprinkler irrigation methods were similar on the day of irrigation, although MESA was slightly larger than LESA at 1.4 and 1.2 mm, respectively. The average daily extra ET values for incomplete canopy conditions were 2.2 mm for MESA and 1.9 mm for LESA, while values were identical for both methods at 0.6 mm for full canopy conditions. Average daily extra ET values were also expressed as a percentage of daily standardized grass reference ET (ETos) values. Average values for MESA and LESA were 20.1% and 13.5%, respectively, for the season, with similar findings of 29.3% and 19.4% for incomplete canopy conditions. Average extra ET/ETos values for incomplete canopy conditions were similar at 7.5% and 7.7% for MESA and LESA, respectively. Evaporative irrigation losses, calculated as the percentage of extra ET to irrigation depth, were slightly larger overall for the day of irrigation for MESA (5.4%) than LESA (5.2%). Losses of 7.9% and 7.0% were observed for incomplete canopy conditions for MESA and LESA, respectively. Average losses for LESA (3.5%) under full canopy conditions were greater than those for MESA (1.9%). A comparison of extra ET values for days following irrigation revealed that evaporative losses from irrigation events extended beyond the day of irrigation. MESA extra ET values for the day following irrigations increa
{"title":"Characterizing Evaporative Losses From Sprinkler Irrigation Using Large Weighing Lysimeters","authors":"G. Marek, S. Evett, K. Thorp, Kendall C. DeJonge, T. Marek, D. Brauer","doi":"10.13031/ja.15300","DOIUrl":"https://doi.org/10.13031/ja.15300","url":null,"abstract":"Highlights Losses for MESA and LESA were comparable on the day of irrigation and oftentimes greater for the subsequent day. Losses were greater due to incomplete canopy conditions for both MESA and LESA on both days. Evaporative losses from irrigation extended to at least the subsequent day following irrigation in most cases. Losses over two days accounted for as much as 39.5% and 28.0% of irrigation depth for MESA and LESA, respectively. Abstract. Effective irrigation systems that increase crop water productivity by minimizing evaporative losses are paramount for extending the longevity of finite groundwater resources in the semi-arid U.S. Southern High Plains (SHP). Although subsurface drip irrigation (SDI) acreage has increased in recent years, center-pivot sprinkler systems still account for greater than 85% of the irrigated area in the SHP. Modern sprinkler configurations are typically classified according to application height as either mid-elevation spray application (MESA) or low-elevation spray application (LESA). While application drift and evaporative losses are easily measured under fallow conditions, quantifying evaporative losses under cropped conditions is difficult. Lysimeter-derived daily evapotranspiration (ET) values for SDI-irrigated and sprinkler-irrigated fields planted to corn in 2016 (MESA) and 2018 (LESA) near Bushland, TX, were compared for days when sprinkler irrigation events occurred and for subsequent days, when possible. Differences (extra ET) were attributed to evaporative losses associated with MESA and LESA irrigation. Average daily extra ET values for both sprinkler irrigation methods were similar on the day of irrigation, although MESA was slightly larger than LESA at 1.4 and 1.2 mm, respectively. The average daily extra ET values for incomplete canopy conditions were 2.2 mm for MESA and 1.9 mm for LESA, while values were identical for both methods at 0.6 mm for full canopy conditions. Average daily extra ET values were also expressed as a percentage of daily standardized grass reference ET (ETos) values. Average values for MESA and LESA were 20.1% and 13.5%, respectively, for the season, with similar findings of 29.3% and 19.4% for incomplete canopy conditions. Average extra ET/ETos values for incomplete canopy conditions were similar at 7.5% and 7.7% for MESA and LESA, respectively. Evaporative irrigation losses, calculated as the percentage of extra ET to irrigation depth, were slightly larger overall for the day of irrigation for MESA (5.4%) than LESA (5.2%). Losses of 7.9% and 7.0% were observed for incomplete canopy conditions for MESA and LESA, respectively. Average losses for LESA (3.5%) under full canopy conditions were greater than those for MESA (1.9%). A comparison of extra ET values for days following irrigation revealed that evaporative losses from irrigation events extended beyond the day of irrigation. MESA extra ET values for the day following irrigations increa","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82035916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Highlights Exclusion of beef cattle from two streams resulted in significant reductions in nitrogen, phosphorus, and sediment exports. Reductions in nutrient and sediment export improved following four or more years of exclusion. Nitrogen and phosphorus concentrations in storm samples decreased more than those in baseflow samples. Abstract. Fences were installed to exclude cattle from two adjacent small streams on a beef and swine farm located in central North Carolina. The two streams, referred to as UTA and North, originated in a pasture used for beef cow production and the application of swine waste. Rainfall and discharge were continuously monitored for 1.34 years prior to and 1.8 years after the fencing was installed in order to quantify the effect of the livestock exclusion on pollutant export/loads in the two streams originating in the pasture. Monitoring results documented reductions in total nitrogen (TN), phosphorus (TP), and total suspended solids (TSS) exports via the North stream of 15%, 54%, and 67%, respectively. Monitoring on the UTA stream was restarted 3.7 years after the initial 1.8 years and continued for about 1 year to assess the effect of natural vegetation growth and stream channel soil recovery. The combined reductions for the two periods were 39%, 64%, and 74% for TN, TP, and TSS, respectively. Exports of TN, TP, and TSS during the later monitoring period decreased by 13%, 60%, and 22%, respectively, compared to the initial 1.8-year monitoring period. These results indicated that exclusion fencing was effective at reducing pollutant exports during the first 1.8 years and that its effectiveness increased after about four years. Consequently, studies that report effectiveness during the first 2 to 4 years after exclusion likely underestimate the long-term effectiveness of the exclusion fencing. Keywords: Best management practices, Discharge monitoring, Livestock exclusion.
{"title":"Effects of Livestock Exclusion on Pollutant Export From a North Carolina Beef Cow Pasture","authors":"D. Line, Barbara A. Doll","doi":"10.13031/ja.15348","DOIUrl":"https://doi.org/10.13031/ja.15348","url":null,"abstract":"Highlights Exclusion of beef cattle from two streams resulted in significant reductions in nitrogen, phosphorus, and sediment exports. Reductions in nutrient and sediment export improved following four or more years of exclusion. Nitrogen and phosphorus concentrations in storm samples decreased more than those in baseflow samples. Abstract. Fences were installed to exclude cattle from two adjacent small streams on a beef and swine farm located in central North Carolina. The two streams, referred to as UTA and North, originated in a pasture used for beef cow production and the application of swine waste. Rainfall and discharge were continuously monitored for 1.34 years prior to and 1.8 years after the fencing was installed in order to quantify the effect of the livestock exclusion on pollutant export/loads in the two streams originating in the pasture. Monitoring results documented reductions in total nitrogen (TN), phosphorus (TP), and total suspended solids (TSS) exports via the North stream of 15%, 54%, and 67%, respectively. Monitoring on the UTA stream was restarted 3.7 years after the initial 1.8 years and continued for about 1 year to assess the effect of natural vegetation growth and stream channel soil recovery. The combined reductions for the two periods were 39%, 64%, and 74% for TN, TP, and TSS, respectively. Exports of TN, TP, and TSS during the later monitoring period decreased by 13%, 60%, and 22%, respectively, compared to the initial 1.8-year monitoring period. These results indicated that exclusion fencing was effective at reducing pollutant exports during the first 1.8 years and that its effectiveness increased after about four years. Consequently, studies that report effectiveness during the first 2 to 4 years after exclusion likely underestimate the long-term effectiveness of the exclusion fencing. Keywords: Best management practices, Discharge monitoring, Livestock exclusion.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"195 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75540779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos E. Ramos Scharrón, Efrain E. Alicea, Yasiel Figueroa Sanchez, M. LaFevor, Preston McLaughlin, L. Macdonald, K. Reale‐Munroe, E. Thomaz, Roberto Viqueira Rios
Highlights The infiltration capacities of unsurfaced roadways are frequently exceeded by rain intensity, promoting overland flow. Erosion rates from unsurfaced roadways and cut slopes are 101 to 104 times greater than on undisturbed hillslopes. Roads in steep, subtropical wet terranes may increase landslide erosion by a factor of 5 relative to areas without roads. The hydro-geomorphic impact of roads is so prominent that they must be explicitly considered in watershed assessments. ABSTRACT. Erosion is a key environmental concern in the northeastern Caribbean because it can diminish soil productivity, damage infrastructure, and threaten human life. Additionally, sediment released by erosion can be delivered to streams where it can degrade water quality and aquatic habitat, reduce reservoir storage capacity, and threaten critical marine resources such as sea grass beds and coral reefs. Road erosion has been a concern in the region since the 1990s, and a considerable body of research has been conducted over the last ~30 years. This article reviews the key findings and identifies additional research needs. In some tropical dry coastal watersheds of the US Virgin Islands and Puerto Rico, unpaved roads and foot or off-road vehicle trails are the primary sediment sources. Watershed scale sediment production rates in these tropical dry settings are 0.3 to 3.7 Mg ha-1 yr-1, depending on unpaved road density, and these are 3 to 40 times greater than under undisturbed conditions. In wetter settings, like the forested and actively cultivated landscapes of highland Puerto Rico, sediment contributions include those from unpaved farm roads but also those from croplands, streambanks, and landslides. Watershed scale sediment production rates in actively cultivated tropical wet settings are 15 to 60 Mg ha-1 yr-1, with road-induced surface erosion and landslides accounting for 50% to 95% of total sediment production. Designing management alternatives will require additional research to improve our understanding of road-to-stream and road-to-coast connectivity, develop effectiveness metrics of applied management practices, and establish the specific causes of road-induced landslides. Keywords: Connectivity, Coral reefs, Landslides, Puerto Rico, Sedimentation, Surface erosion, Virgin Islands.
{"title":"Three Decades of Road and Trail Runoff andErosion Work in the Northeastern Caribbean –a Research Program Perspective","authors":"Carlos E. Ramos Scharrón, Efrain E. Alicea, Yasiel Figueroa Sanchez, M. LaFevor, Preston McLaughlin, L. Macdonald, K. Reale‐Munroe, E. Thomaz, Roberto Viqueira Rios","doi":"10.13031/ja.15078","DOIUrl":"https://doi.org/10.13031/ja.15078","url":null,"abstract":"Highlights The infiltration capacities of unsurfaced roadways are frequently exceeded by rain intensity, promoting overland flow. Erosion rates from unsurfaced roadways and cut slopes are 101 to 104 times greater than on undisturbed hillslopes. Roads in steep, subtropical wet terranes may increase landslide erosion by a factor of 5 relative to areas without roads. The hydro-geomorphic impact of roads is so prominent that they must be explicitly considered in watershed assessments. ABSTRACT. Erosion is a key environmental concern in the northeastern Caribbean because it can diminish soil productivity, damage infrastructure, and threaten human life. Additionally, sediment released by erosion can be delivered to streams where it can degrade water quality and aquatic habitat, reduce reservoir storage capacity, and threaten critical marine resources such as sea grass beds and coral reefs. Road erosion has been a concern in the region since the 1990s, and a considerable body of research has been conducted over the last ~30 years. This article reviews the key findings and identifies additional research needs. In some tropical dry coastal watersheds of the US Virgin Islands and Puerto Rico, unpaved roads and foot or off-road vehicle trails are the primary sediment sources. Watershed scale sediment production rates in these tropical dry settings are 0.3 to 3.7 Mg ha-1 yr-1, depending on unpaved road density, and these are 3 to 40 times greater than under undisturbed conditions. In wetter settings, like the forested and actively cultivated landscapes of highland Puerto Rico, sediment contributions include those from unpaved farm roads but also those from croplands, streambanks, and landslides. Watershed scale sediment production rates in actively cultivated tropical wet settings are 15 to 60 Mg ha-1 yr-1, with road-induced surface erosion and landslides accounting for 50% to 95% of total sediment production. Designing management alternatives will require additional research to improve our understanding of road-to-stream and road-to-coast connectivity, develop effectiveness metrics of applied management practices, and establish the specific causes of road-induced landslides. Keywords: Connectivity, Coral reefs, Landslides, Puerto Rico, Sedimentation, Surface erosion, Virgin Islands.","PeriodicalId":29714,"journal":{"name":"Journal of the ASABE","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75656872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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